Connecting to Databricks

Establishing a Connection shows how to authenticate to Databricks and configure any necessary connection properties from the Connection Manager window.

You can also configure component capabilities through the available Connection properties, from data modeling to firewall traversal. The Advanced Settings section shows how to set up more advanced configurations and troubleshoot connection errors.

Visual Studio Version Support

The CData SSIS Components for Databricks supports Visual Studio versions 2015 and above.

SSIS Version Support

The CData SSIS Components for Databricks provide data flow components that allow for straightforward integration with Databricks data from SSIS data flow tasks. SQL Server 2014, 2016, 2017, 2019, and 2022 are supported including their corresponding version of SQL Server Data Tools.

Databricks Version Support

The CData SSIS Components for Databricks leverages Databricks Thrift to enable bidirectional SQL access to Databricks data. The component supports databases that run Databricks Runtime Version 9.1 and later. It also supports the Pro and Classic Databricks SQL versions. The data model is fully dynamic and automatically reflects the data that is available in your Databricks environment. Any updates to tables or schemas are immediately accessible through SQL.

See Also

• Using the Source Component: Pull Databricks data into your data flow task.
• Using the Destination Component: Push data to Databricks.
• Deploying to Azure: Deploy the CData components to Azure from Visual Studio.
• Troubleshooting: The component installation automatically adds the components to the toolbox; if you do not see the components, you can find the procedure to add them here.